Noise reduction method of high frequency signal in dynamic gravimetry
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P223

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    Abstract:

    In recent years, dynamic gravity measurement technology utilizing optical-gyro inertial navigation systems has advanced rapidly, owing to its high efficiency capabilities in acquiring Earth's gravity field data. However, existing filtering methods exhibit limitations in addressing the frequency-domain aliasing of gravity signals and noise, which severely constrains the accuracy and resolution of measurements. To address these challenges, a novel joint noise reduction method integrating EMD and WCF was innovatively propose. The raw gravity results were low-pass filtered initially. The filtered results then underwent EMD, and a threshold was applied to retain low-order intrinsic mode functions. Subsequently, correlation filtering was implemented on repeated line retention results to reconstruct signals and suppress noise. Simulation experiments demonstrate that the proposed method achieve a 44% improvement in signal-to-noise ratio and a 48% reduction in mean square error compare to traditional EMD processing. These results confirm the effectiveness of the EMD-WCF method in balancing measurement accuracy and resolution, offering a new strategy for high-frequency gravity signal denoising.

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History
  • Received:January 11,2025
  • Revised:June 26,2025
  • Adopted:June 04,2025
  • Online: July 04,2025
  • Published:
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